Unauthorized ingredients in “nootropic” dietary supplements: A review of the history, pharmacology, prevalence, international regulations, and potential as doping …
K Jędrejko, O Catlin, T Stewart… - Drug Testing and …, 2023 - Wiley Online Library
The first nootropic prohibited in sport was fonturacetam (4‐phenylpiracetam, carphedon) in
1998. Presented here 25 years later is a broad‐scale consideration of the history …
1998. Presented here 25 years later is a broad‐scale consideration of the history …
CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records
Objective Accurate extraction of breast cancer patients' phenotypes is important for clinical
decision support and clinical research. This study developed and evaluated cancer domain …
decision support and clinical research. This study developed and evaluated cancer domain …
Extracting adverse drug events from clinical Notes: A systematic review of approaches used
S Modi, KA Kasmiran, NM Sharef… - Journal of Biomedical …, 2024 - Elsevier
Background An adverse drug event (ADE) is any unfavorable effect that occurs due to the
use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text …
use of a drug. Extracting ADEs from unstructured clinical notes is essential to biomedical text …
Complementary and Integrative Health Information in the literature: its lexicon and named entity recognition
Objective To construct an exhaustive Complementary and Integrative Health (CIH) Lexicon
(CIHLex) to help better represent the often underrepresented physical and psychological …
(CIHLex) to help better represent the often underrepresented physical and psychological …
Representing and utilizing clinical textual data for real world studies: An OHDSI approach
Clinical documentation in electronic health records contains crucial narratives and details
about patients and their care. Natural language processing (NLP) can unlock the information …
about patients and their care. Natural language processing (NLP) can unlock the information …
Muvam: A multi-view attention-based model for medical visual question answering
H Pan, S He, K Zhang, B Qu, C Chen, K Shi - arXiv preprint arXiv …, 2021 - arxiv.org
Medical Visual Question Answering (VQA) is a multi-modal challenging task widely
considered by research communities of the computer vision and natural language …
considered by research communities of the computer vision and natural language …
[HTML][HTML] A hybrid system to understand the relations between assessments and plans in progress notes
Objective: The paper presents a novel solution to the 2022 National NLP Clinical
Challenges (n2c2) Track 3, which aims to predict the relations between assessment and …
Challenges (n2c2) Track 3, which aims to predict the relations between assessment and …
[HTML][HTML] Text mining of adverse events in clinical trials: deep learning approach
Background: Pharmacovigilance and safety reporting, which involve processes for
monitoring the use of medicines in clinical trials, play a critical role in the identification of …
monitoring the use of medicines in clinical trials, play a critical role in the identification of …
Deep mining the textual gold in relation extraction
T Sharma, F Emmert-Streib - Artificial Intelligence Review, 2025 - Springer
Relation extraction (RE) is a fundamental task in natural language processing (NLP) that
seeks to identify and categorize relationships among entities referenced in the text …
seeks to identify and categorize relationships among entities referenced in the text …
Transparent deep learning to identify autism spectrum disorders (ASD) in EHR using clinical notes
G Leroy, JG Andrews, M KeAlohi-Preece… - Journal of the …, 2024 - academic.oup.com
Objective Machine learning (ML) is increasingly employed to diagnose medical conditions,
with algorithms trained to assign a single label using a black-box approach. We created an …
with algorithms trained to assign a single label using a black-box approach. We created an …